Further information

Demonstrate what an insightful data analysis or visualization you can create using your own approach, and win
a prize!

Take the opportunity to create your own cloud-based data analysis approach and compete with other contestants.
You can present your results during the BTW2017 conference in Stuttgart in front of an expert panel from
industry and academia who will choose the best contributions. The winners will be awarded a certificate as well
as prize money.

Prizes

First place: 500 Euro

Second place: 300 Euro

Third place: 200 Euro

Challenge Structure

We publish preliminary, exemplary data sources as well as analysis tasks with this challenge announcement. You
can use this preliminary data and tasks in order to plan and prepare your approach. You can then apply for the
challenge by submitting a two-paged proposal. We will notify the accepted proposals and publish the final
challenge data sets and task one month before the BTW2017 conference. These final data sets and task will be
similar enough to the preliminary ones so that you can adapt your approach to them.
The actual challenge is therefore to adapt, modify, and finalize your approach within one month in order to
solve the final challenge task. So it is useful to choose an approach that is flexible and reusable.

The goal of the challenge is to integrate and analyze data sources. The result can be an actionable insight or
insightful visualization. Contestants can freely choose the cloud platform and technology they prefer. Your
approach may integrate existing tools and services, or create something new. The data for the challenge will be
accessible via the cloud platform IBM Bluemix. As a
sponsorship, you can use Bluemix, and its analytics services, for free in the context of this challenge. If
you're interested in free access to Bluemix, please contact sdsc17@ipvs.uni-stuttgart.de
or state so when submitting your proposal.

The Data Science Challenge is open for PhD, masters, as well as bachelor students. Individuals as well as teams
may participate. At least one person per team has to register for the BTW in order to present the results
during the conference. This registration is free of charge for students participating in the challenge.

Schedule

Publishing of the preliminary data sets and tasks.

Applications are open. Submit a two-paged proposal explaining your approach and used technologies. State
your relevant prior experience in the field.

31.10.2016:Applications are closed. (Deadline
extended)

30.11.2016: Notification of accepted proposals.

06.02.2017: Publishing of the final data sets and challenge task. From now on you have one month to
adapt, modify, and finalize your approach.

07.03.2017: Presentation of the results at BTW2017 in Stuttgart.

09.03.2017: Ranking of the contributions and awarding of the winners.

13.03.2017: All participants receive an invitation to submit a scientific article discussing their
approach.

Preliminary Data Sets and Tasks

Use the following preliminary data sets and tasks in order to prepare your approach and proposal. The final
challenge data sets and task will be published one month prior to the BTW2017 conference. The actual challenge
is therefore to adapt, modify, and finalize your approach within one month in order to solve the final
challenge task. We chose these preliminary data sets and tasks in such a way that you can reuse and adapt your
approach to the final challenge data sets and task.